Table 18 Final comparison of the most effective models from both datasets.
Model combination | Dataset | Testing accuracy (%) | AUC (%) |
---|---|---|---|
ADaDR-22 + XGBoost | Modified (14 Classes) | 92.2 | 97.8 |
ADaDR-22 + Vision Transformer | Modified (14 Classes) | 93.4 | 98.8 |